| The Research of Gesture-Language can be applied in many fields such as Computer aided Gesture-Language Teaching, TV Bilingual Broadcasting, the research of Virtual Human. The research of Gesture-Language includes the following subjects: Education Computer Graphology, Robot Motion and Physic etc. It is a very meaningful subject. The research of Gesture Recognition has a wide range of applications such as: the communication between the deaf and the normal, the aided recognition of voice recognition ,the control of VR, the study of robot.This paper discussed the research of vision-based Gesture Recognition based in 3 aspects: gesture image preprocessing, feature extraction and the design of classifier.In the process of image preprocessing there are several image operations. Firstly, the system is to turn RGB color images taken from digital camera into gray-scaled images. It gets the binary version of the images by the means of a gray level thresholding algorithm based on discriminant analysis. After that, to get a better binary image the system takes the operation of morphological filtering. Lastly, can get hand gesture contour by contour tail.Following the image preprocessing, it's turn to extract the right feature from the gesture. The uncertainty of rotation and scale of gesture makes us many difficulties to the extraction of feature. For solve this problem,we proposed feature representation base on boundary information -LCS(Localized Contour Sequence)because of its invariability of image rotation and scale.In the classifier designing, system splits the 9 sets of gesture images into one testing set and 8 designing sets firstly. Using DP matching algorithm calculating gesture of testing sets and gesture of designing sets to get the Euclidean distanceThe first testing recognition rate is 93% and the second one up to 96% when our system classify the whole testing set. The result shows our system is totallyeffective. |
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